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.gitattributes

@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+static/css/Superalignment-human.png filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,124 @@
+from flask import Flask, render_template, request
+from transformers import pipeline
+import logging
+
+logging.basicConfig(level=logging.DEBUG)
+
+app = Flask(__name__, static_folder='static')
+
+def generate_gpt3_text(text):
+    generator = pipeline(task='text-generation', model='EleutherAI/gpt-neo-2.7B')
+    generated_text = generator(text, max_length=200, num_return_sequences=1, truncation=True)
+    return generated_text[0]['generated_text']
+
+def generate_gpt2_text(prompt, max_length):
+    generator = pipeline('text-generation', model='gpt2')
+    generated_text = generator(prompt, max_length=max_length, num_return_sequences=1, truncation=True)
+    return generated_text[0]['generated_text']
+
+def translate_text_t5(prompt):
+    translator = pipeline('translation_en_to_fr', model='t5-small')
+    translated_text = translator(prompt, max_length=100)[0]['translation_text']
+    return translated_text
+
+def translate_text_english_to_hindi(prompt):
+    translator = pipeline('translation_en_to_hi', model='Helsinki-NLP/opus-mt-en-hi')
+    translated_text = translator(prompt, max_length=100)[0]['translation_text']
+    logging.debug(f'Generated text from GPT-3: {translated_text}')
+    print('Translated Text (English to French):', translated_text)
+    return translated_text
+
+def translate_text_hindi_to_english(prompt):
+    translator = pipeline('translation_hi_to_en', model='Helsinki-NLP/opus-mt-hi-en')
+    translated_text = translator(prompt, max_length=100)[0]['translation_text']
+    return translated_text
+
+def translate_text_spanish_to_english(prompt):
+    translator = pipeline('translation_es_to_en', model='Helsinki-NLP/opus-mt-es-en')
+    translated_text = translator(prompt, max_length=100)[0]['translation_text']
+    return translated_text
+
+def translate_text_german_to_english(prompt):
+    translator = pipeline('translation_de_to_en', model='Helsinki-NLP/opus-mt-de-en')
+    translated_text = translator(prompt, max_length=100)[0]['translation_text']
+    return translated_text
+
+def translate_text_french_to_english(prompt):
+    translator = pipeline('translation_fr_to_en', model='Helsinki-NLP/opus-mt-fr-en')
+    translated_text = translator(prompt, max_length=100)[0]['translation_text']
+    return translated_text
+
+def translate_text_chinese_to_english(prompt):
+    translator = pipeline('translation_zh_to_en', model='Helsinki-NLP/opus-mt-zh-en')
+    translated_text = translator(prompt, max_length=100)[0]['translation_text']
+    return translated_text
+
+def generate_long_content(input_text):
+    summarizer = pipeline('summarization', model='t5-small')
+    input_format = "summarize: {}".format(input_text)
+    generated_summary = summarizer(input_format, max_length=210, num_return_sequences=1, truncation=True)
+    output_summary = generated_summary[0]['summary_text']
+    return output_summary
+
+def generate_text_bert(prompt):
+    generator = pipeline('fill-mask', model='bert-base-uncased')
+    generated_text = generator(prompt)
+    generated_sequences = [result['sequence'] for result in generated_text]
+    return generated_sequences
+
+@app.route('/', methods=['GET', 'POST'])
+def home():
+    generated_text = ''
+    if request.method == 'POST':
+        try:
+            prompt = request.form['prompt']
+            model_type = request.form['model_type']
+
+            logging.debug(f'Prompt received: {prompt}')
+            logging.debug(f'Model type selected: {model_type}')
+
+            if model_type == 'gpt3':
+                generated_text = generate_gpt3_text(prompt)
+                logging.debug(f'Generated text from GPT-3: {generated_text}')
+            elif model_type == 'gpt2':
+                max_length = int(request.form['max_length'])
+                generated_text = generate_gpt2_text(prompt, max_length)
+                logging.debug(f'Generated text from GPT-2: {generated_text}')
+            elif model_type == 'translation_en_to_fr':
+                max_length = int(request.form['max_length'])
+                generated_text = translate_text_t5(prompt)
+                logging.debug(f'Generated text from GPT-2: {generated_text}')
+            elif model_type == 'translation_en_to_hi':
+                generated_text = translate_text_english_to_hindi(prompt)
+                logging.debug(f'Generated text from GPT-2: {generated_text}')
+            elif model_type == 'translation_hi_to_en':
+                generated_text = translate_text_hindi_to_english(prompt)
+                logging.debug(f'Generated text from GPT-2: {generated_text}')
+            elif model_type == 'translation_es_to_en':
+                generated_text = translate_text_spanish_to_english(prompt)
+                logging.debug(f'Generated text from GPT-2: {generated_text}')
+            elif model_type == 'translation_de_to_en':
+                generated_text = translate_text_german_to_english(prompt)
+                logging.debug(f'Generated text from GPT-2: {generated_text}')
+            elif model_type == 'translation_fr_to_en':
+                generated_text = translate_text_french_to_english(prompt)
+                logging.debug(f'Generated text from GPT-2: {generated_text}')
+            elif model_type == 'translation_zh_to_en':
+                generated_text = translate_text_chinese_to_english(prompt)
+                logging.debug(f'Generated text from GPT-2: {generated_text}')
+            elif model_type == 'summarization':
+                generated_text = generate_long_content(prompt)
+                logging.debug(f'Generated text from T5: {generated_text}')
+            elif model_type == 'Text_bert':
+                generated_text = generate_text_bert(prompt)
+                logging.debug(f'Generated text from BERT: {generated_text}')
+
+        except Exception as e:
+            logging.error(f'An error occurred: {str(e)}')
+
+        return render_template('index.html', prompt=prompt, generated_text=generated_text)
+
+    return render_template('index.html', generated_text=generated_text)
+
+if __name__ == '__main__':
+    app.run(debug=True)

requirements.txt

@@ -0,0 +1,6 @@
+Flask==2.0.2
+transformers==4.12.0
+torch==1.10.0
+tensorflow==2.7.0
+numpy==1.21.5
+pandas==1.3.5

static/css/styles.css

@@ -0,0 +1,106 @@
+body {
+    font-family: Arial, sans-serif;
+    background-color: #5f93ee;
+}
+
+.container {
+    max-width: 800px;
+    margin: 50px auto;
+    padding: 20px;
+    background-color: #fff;
+    border-radius: 5px;
+    box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
+}
+
+
+body {
+    background-image: url('./image5.jpg');
+    background-size: cover;
+    background-position: center;
+    background-color: #f2f2f2;
+    display: flex;
+    justify-content: center;
+    align-items: center;
+    height: 100vh;
+    margin: 0;
+    padding: 0;
+}
+
+h1 {
+    color: #0607f3;
+    text-align: center;
+}
+
+form {
+    margin-bottom: 20px;
+}
+
+label {
+    font-weight: bold;
+}
+
+input[type="text"] {
+    width: 100%;
+    padding: 10px;
+    margin-top: 5px;
+    margin-bottom: 10px;
+    border-radius: 3px;
+    border: 1px solid #ccc;
+}
+
+button {
+    padding: 10px 20px;
+    background-color: #16cf19;
+    color: #fff;
+    border: none;
+    border-radius: 3px;
+    cursor: pointer;
+}
+
+button:hover {
+    background-color: #0056b3;
+}
+
+.social-links {
+    display: flex;
+    justify-content: center;
+    margin-top: 20px;
+    background-color: #181818; /* White background for social links */
+    padding: 10px;
+    border-radius: 8px;
+}
+
+.social-links a {
+    margin: 0 10px;
+    text-decoration: none;
+    display: inline-block;
+    transition: transform 0.3s ease-in-out;
+}
+
+.social-links a img {
+    width: 30px; /* Adjust the size of the social link logos */
+    height: 30px; /* Adjust the size of the social link logos */
+}
+
+.social-links a:hover {
+    transform: scale(1.2);
+}
+
+.generated-text-container {
+    margin-top: 20px;
+    border-top: 1px solid #ccc;
+    padding-top: 20px;
+    background-color: #f9f9f9; /* Background color for generated text */
+    border-radius: 3px;
+    padding: 10px;
+}
+
+h2 {
+    margin-bottom: 10px;
+    color: #333;
+}
+
+p {
+    white-space: pre-wrap;
+    font-family: 'Courier New', monospace; /* Font style for generated text */
+}

templates/index.html

@@ -0,0 +1,80 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>NLP Tools</title>
+    <link rel="stylesheet" type="text/css" href="{{ url_for('static', filename='css/styles.css') }}">
+</head>
+<body style="background-color: #6ea6ec; font-family: 'Segoe UI', sans-serif; text-align: center;">
+    
+    <div class="background">
+        <div class="container" style="max-width: 897px; margin: 50px auto; padding: 20px; background-color: rgba(0, 0, 0, 0.7); color: #ffffff;border-radius: 5px; box-shadow: 0 0 10px rgba(245, 244, 244, 0.1);">
+            <h1 style="color: #ffffff; margin-bottom: 20px;">NLP Tools (Open AI) & (Google BERT)</h1>
+            <p style="font-size: 16px; margin-bottom: 20px;">Welcome to the NLP Tools project! Select the tool you want to use, enter your prompt or text, and click the button to get results. </p>
+            
+            <form method="POST" action="/" style="margin-bottom: 20px;">
+                <label for="prompt" style="font-weight: bold; color: #ffffff;">Enter your prompt or text:</label><br>
+                <input type="text" id="prompt" name="prompt" placeholder="Enter Your Text" style="width: 87%; padding: 51px; margin-top: 5px; margin-bottom: 10px; border-radius: 3px; border: 1px solid #ccc; color: #0d0c0c;">
+                <br>
+                <label for="model_type" style="font-weight: bold; color: #ffffff;">Select Model or Tool Type:</label><br>
+                <select id="model_type" name="model_type" required style="width: 100%; padding: 10px; margin-top: 5px; margin-bottom: 10px; border-radius: 3px; border: 1px solid #ccc; color: #090909;">
+                    <option value="summarization">Summarization</option>
+                    <option value="gpt2">GPT-2 Text Generation</option>
+                    <option value="gpt3">GPT-3 Text Generation</option>
+                    <option value="Text_bert">Generate Mask Text (BERT)</option>
+                    <option value="translation_en_to_fr">Translation: English to French</option>
+                    <option value="translation_en_to_hi">Translation: English to Hindi</option>
+                    <option value="translation_hi_to_en">Translation: Hindi to English</option>
+                    <option value="translation_es_to_en">Translation: Spanish to English</option>
+                    <option value="translation_de_to_en">Translation: German to English</option>
+                    <option value="translation_fr_to_en">Translation: French to English</option>
+                    <option value="translation_zh_to_en">Translation: Chinese to English</option>
+                    
+                </select>
+                <br>
+                <label for="max_length" style="font-weight: bold; color: #ffffff;">Maximum Length (for Text Generation or Summarization):</label><br>
+                <input type="number" id="max_length" name="max_length" min="1" max="1000" value="200" required style="width: 97%; padding: 10px; margin-top: 5px; margin-bottom: 10px; border-radius: 3px; border: 1px solid #ccc; color: #111111;">
+                <br>
+                <button type="submit" style="padding: 10px 20px; background-color: #302ebd; color: #ffffff; border: none; border-radius: 3px; cursor: pointer; transition: background-color 0.3s;">Generate Text</button>
+            </form>
+            {% if prompt %}
+            <div class="generated-text" style="margin-top: 20px; border-top: 1px solid #ccc; padding-top: 20px; text-align: left;">
+                <h2 style="color: #ffffff; margin-bottom: 10px;">Generated Text:</h2>
+                <p class="generated_text" style="white-space: pre-wrap; font-size: 16px; line-height: 1.6;">{{ generated_text }}</p>
+            </div>
+            {% endif %}
+            <div class="social-links">
+                <a href="https://www.instagram.com/end_of_night.17j03/" target="_blank">
+                    <img src="../static/css/img/instagram.jpg" alt="Instagram">
+                </a>
+                <a href="https://www.facebook.com/nishantraghuwanshi.singh.5" target="_blank">
+                    <img src="../static/css/img/fb.png" alt="Facebook">
+                </a>
+                <a href="https://www.linkedin.com/in/nishant-raghuwanshi-1509a724a/" target="_blank">
+                    <img src="../static/css/img/linkdin.png" alt="LinkedIn">
+                </a>
+                <a href="https://github.com/Nishant2018" target="_blank">
+                    <img src="../static/css/img/github.png" alt="GitHub">
+                </a>
+                <a href="https://www.kaggle.com/endofnight17j03" target="_blank">
+                    <img src="../static/css/img/Kaggle_logo.png" alt="Kaggle">
+                </a>
+            </div>
+            <div class="footer">
+                <p>&copy; 2024 Your Website. All rights reserved. | <a href="/terms" style="color: #ffffff;">Terms of Use</a> | <a href="/privacy" style="color: #ffffff;">Privacy Policy</a></p>
+                <div class="contact-section" style="margin-top: 30px;">
+                    <h3 style="color: #ffffff; margin-bottom: 10px;">Contact Us</h3>
+                    <p style="font-size: 14px; line-height: 1.5; color: #ffffff;">For inquiries or feedback, please contact our team at <a href="mailto:nishantraghuwanshi2018@gmail.com" style="color: #ffffff; text-decoration: underline;">nishantraghuwanshi2018@gmail.com</a>.</p>
+
+                </div>
+                
+            </div>
+            <div class="additional-info" style="margin-top: 30px;">
+                <h3 style="color: #ffffff; margin-bottom: 10px;">Additional Information</h3>
+                <p style="font-size: 14px; line-height: 1.5;">Explore our NLP Tools project to generate and analyze text using state-of-the-art models. Choose from text generation, translation, or summarization tools to experience the power of natural language processing.</p>
+            </div>
+        </div>
+    </div>
+</body>
+</html>